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Subject
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Neural networks 2 Artificial neural network 1 Daily maximum temperature prediction 1 Information dissemination 1 Information flow management 1 Information value 1 Informationsverbreitung 1 Informationswert 1 Lieferkette 1 Neuronale Netze 1 Production chain model 1 Regression algorithms 1 Regression analysis 1 Regressionsanalyse 1 Supply chain 1 Support vector regression algorithms 1 Theorie 1 Theory 1 Value of information 1
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CC license 1 Free 1 Undetermined 1
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Article 2
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 1 Undetermined 1
Author
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Biyeme, Florent 1 Casanova-Mateo, C. 1 Chana, Anne Marie 1 Cony, M.A. 1 Hernández-Martín, E. 1 Mbakop, André Marie 1 Meva'a, Jean Raymond Lucien 1 Ortiz-García, E.G. 1 Paniagua-Tineo, A. 1 Salcedo-Sanz, S. 1 Voufo, Joseph 1
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Published in...
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Renewable Energy 1 Supply chain analytics 1
Source
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ECONIS (ZBW) 1 RePEc 1
Showing 1 - 2 of 2
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An analytical model for analyzing the value of information flow in the production chain model using regression algorithms and neural networks
Biyeme, Florent; Mbakop, André Marie; Chana, Anne Marie; … - In: Supply chain analytics 2 (2023), pp. 1-9
flow. In this research paper, we use regression algorithms to develop an analytics model for the value of information flow ….323 was for the Multi-Linear Regression (MLR) with a prediction error of 0.0556. These results help companies use regression … algorithms effectively to analyze the value of information flows on the manufacturing chains. …
Persistent link: https://www.econbiz.de/10014516483
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Prediction of daily maximum temperature using a support vector regression algorithm
Paniagua-Tineo, A.; Salcedo-Sanz, S.; Casanova-Mateo, C.; … - In: Renewable Energy 36 (2011) 11, pp. 3054-3060
Daily maximum temperature can be used a good indicator of peak energy consumption, since it can be used to predict the massive use of heating or air conditioning systems. Thus, the prediction of daily maximum temperature is an important problem with interesting applications in the energy field,...
Persistent link: https://www.econbiz.de/10011044061
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